Finite-Agent Stochastic Differential Games on Large Graphs: I. The Linear-Quadratic Case

Fuente: arXiv
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Main Authors: Hu, Ruimeng, Long, Jihao, Zhou, Haosheng
Format: Preprint
Published: 2024
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author Hu, Ruimeng
Long, Jihao
Zhou, Haosheng
author_facet Hu, Ruimeng
Long, Jihao
Zhou, Haosheng
contents In this paper, we study finite-agent linear-quadratic games on graphs. Specifically, we propose a comprehensive framework that extends the existing literature by incorporating heterogeneous and interpretable player interactions. Compared to previous works, our model offers a more realistic depiction of strategic decision-making processes. For general graphs, we establish the convergence of fictitious play, a widely-used iterative solution method for determining the Nash equilibrium of our proposed game model. Notably, under appropriate conditions, this convergence holds true irrespective of the number of players involved. For vertex-transitive graphs, we develop a semi-explicit characterization of the Nash equilibrium. Through rigorous analysis, we demonstrate the well-posedness of this characterization under certain conditions. We present numerical experiments that validate our theoretical results and provide insights into the intricate relationship between various game dynamics and the underlying graph structure.
format Preprint
id arxiv_https___arxiv_org_abs_2406_09523
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Finite-Agent Stochastic Differential Games on Large Graphs: I. The Linear-Quadratic Case
Hu, Ruimeng
Long, Jihao
Zhou, Haosheng
Optimization and Control
91A15, 91A43, 49N1
In this paper, we study finite-agent linear-quadratic games on graphs. Specifically, we propose a comprehensive framework that extends the existing literature by incorporating heterogeneous and interpretable player interactions. Compared to previous works, our model offers a more realistic depiction of strategic decision-making processes. For general graphs, we establish the convergence of fictitious play, a widely-used iterative solution method for determining the Nash equilibrium of our proposed game model. Notably, under appropriate conditions, this convergence holds true irrespective of the number of players involved. For vertex-transitive graphs, we develop a semi-explicit characterization of the Nash equilibrium. Through rigorous analysis, we demonstrate the well-posedness of this characterization under certain conditions. We present numerical experiments that validate our theoretical results and provide insights into the intricate relationship between various game dynamics and the underlying graph structure.
title Finite-Agent Stochastic Differential Games on Large Graphs: I. The Linear-Quadratic Case
topic Optimization and Control
91A15, 91A43, 49N1
url https://arxiv.org/abs/2406.09523